DocumentCode
1323861
Title
A new block adaptive filtering algorithm for decision-feedback equalization of multipath fading channels
Author
Wang, Chin-Liang ; Chin-Liang Wang
Author_Institution
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Volume
44
Issue
10
fYear
1997
fDate
10/1/1997 12:00:00 AM
Firstpage
877
Lastpage
881
Abstract
This brief presents a modified general optimum block adaptive (MGOBA) algorithm for block adaptive decision-feedback equalization (DFE) of multipath fading channels. Unlike the original GOBA algorithm, which was proposed only for processing real-valued signals and its recursion cannot work correctly for adaptive DFE when the block length is less than the number of decision-feedback equalizer (also abbreviated to DFE) coefficients, the MGOBA algorithm can process complex-valued signals and its recursion has no constraints on the block length as well as the number of DFE coefficients. As compared to the sequential Kalman and another previously proposed optimum block adaptive algorithms, the MGOBA algorithm achieves better error-rate performance for block adaptive DFE of rapidly fading radio channels
Keywords
adaptive filters; adaptive signal processing; decision feedback equalisers; fading; matrix decomposition; multipath channels; radiocommunication; HF radio; block adaptive decision-feedback equalization; block adaptive filtering algorithm; complex-valued signal processing; decision-feedback equalization; error-rate performance; modified general optimum block adaptive algorithm; multipath fading channels; rapidly fading radio channels; upper triangular factorization; Adaptive algorithm; Adaptive equalizers; Adaptive filters; Adaptive systems; Convergence; Decision feedback equalizers; Fading; Filtering algorithms; Intersymbol interference; Signal processing algorithms;
fLanguage
English
Journal_Title
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7130
Type
jour
DOI
10.1109/82.633450
Filename
633450
Link To Document